Statistics: The Art and Science of Learning from Data, 3rd Edition
- Length: 832 pages
- Edition: 3
- Language: English
- Publisher: Pearson
- Publication Date: 2012-01-06
- ISBN-10: 0321755944
- ISBN-13: 9780321755940
- Sales Rank: #253334 (See Top 100 Books)
Alan Agresti and Chris Franklin have merged their research and classroom experience to develop this successful introductory statistics text. Statistics: The Art and Science of Learning from Data, Third Edition, helps students become statistically literate by encouraging them to ask and answer interesting statistical questions. It takes the ideas that have turned statistics into a central science in modern life and makes them accessible and engaging to students without compromising necessary rigor.
The Third Edition has been edited for conciseness and clarity to keep students focused on the main concepts. The data-rich examples that feature intriguing human-interest topics now include topic labels to indicate which statistical topic is being applied. New learning objectives for each chapter appear in the Instructor’s Edition, making it easier to plan lectures and Chapter 7 (Sampling Distributions) now incorporates simulations in addition to the mathematical formulas.
Table of Contents
Part One: Gathering and Exploring Data
Chapter 1 Statistics: The Art and Science of Learning from Data
Chapter 2 Exploring Data with Graphs and Numerical Summaries
Chapter 3 Association: Contingency, Correlation, and Regression
Chapter 4 Gathering Data
Part Two: Probability, Probability Distributions, and Sampling Distributions
Chapter 5 Probability in Our Daily Lives
Chapter 6 Probability Distributions
Chapter 7 Sampling Distributions
Part Three: Inferential Statistics
Chapter 8 Statistical Inference: Confidence Intervals
Chapter 9 Statistical Inference: Significance Tests About Hypotheses
Chapter 10 Comparing Two Groups
Part Four: Analyzing Association and Extended Statistical Methods
Chapter 11 Analyzing the Association Between Categorical Variables
Chapter 12 Analyzing the Association Between Quantitative Variables: Regression Analysis
Chapter 13 Multiple Regression
Chapter 14 Comparing Groups: Analysis of Variance Methods
Chapter 15 Nonparametric Statistics
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